Sr Manager, PMT-ES, Design Systems, AWS Applied AI Solutions

📍 Job Overview

Job Title: Sr Manager, PMT-ES, Design Systems, AWS Applied AI Solutions

Company: Amazon

Location: Seattle, Washington, United States & New York, New York, United States

Job Type: Full-Time

Category: Product Management / Engineering Leadership (Design Systems & AI)

Date Posted: 2026-07-29

Experience Level: 10+ years

Remote Status: On-site

🚀 Role Summary

• Lead end-to-end product vision, strategy, and roadmap for an agent-first design system within AWS Applied AI Solutions, focusing on human-AI interaction paradigms.

• Manage and develop a cross-functional team of Product Managers, Software Development Engineers (SDEs), Machine Learning Engineers (MLEs), and front-end engineers.

• Drive adoption of the design system across multiple AWS product teams and partner teams, ensuring seamless integration and measurable reduction in development costs.

• Innovate on new AI-native interaction paradigms, balancing proven agentic patterns with experimental approaches to redefine how humans collaborate with AI teammates.

📝 Enhancement Note: This role is highly strategic and leadership-oriented, focusing on building a foundational platform (design system) that impacts multiple product teams within AWS. The emphasis on "agent-first" and "humorphism" indicates a forward-thinking approach to AI interaction design, requiring a blend of deep technical understanding, product vision, and strong people management skills. The "single-threaded leader" designation highlights the expectation of complete ownership and accountability.

📈 Primary Responsibilities

• Define and own the product vision, strategy, and roadmap for the agent-first design system, aligning with portfolio needs, customer feedback, and design research.

• Lead the design and execution of the design system, focusing on scalable patterns that generalize across numerous applications rather than one-off solutions.

• Foster a culture of "Own It. Ship It. Together." by leading a paired model of simultaneous development between engineers and designers.

• Drive the adoption of the design system through earned usefulness, incremental releases, research validation, and direct support for dependent engineering teams.

• Manage long-lead investments in future builder capabilities, such as UI-composing agents, MCP-based integration, mobile-native experiences, and voice/multimodal interactions.

• Partner closely with the UX Design leader to hire, develop, and retain world-class talent at the intersection of design systems and agentic AI.

• Establish and maintain a high-quality bar for prioritization, release cadence, documentation standards, and design token management.

• Steward the shared design system partnership, owning the integration layer for product team consumption and the relationship with the broader AWS design system.

📝 Enhancement Note: The responsibilities emphasize a systems-thinking approach, focusing on generalized solutions and broad impact over specific product features. The "earned usefulness" principle for adoption and the "paired model" for development are key operational methodologies. The role requires balancing near-term adoption with long-term architectural bets and innovation.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Computer Science or a related technical field. Experience:

• 8+ years of technical product management experience.

• 5+ years of people management experience, including hiring, performance management, and team development.

• Demonstrated track record of shipping developer-facing SDKs, component libraries, or platform products used by multiple teams.

• Experience managing a horizontal platform team serving multiple product consumers with competing priorities. Required Skills:

• Deep expertise in design systems, front-end engineering, or developer experience platforms.

• Strong technical fluency, enabling architecture decisions, code reviews, and deep engagement with engineers on implementation tradeoffs.

• A strong sense of craft and taste, with a commitment to investing more effort for better long-term scalability rather than constant speed optimization.

• Excellent communication and stakeholder management skills, with the ability to influence across diverse teams.

• Proven ability to define and execute product vision and roadmaps. Preferred Skills:

• Experience managing a team of engineers and scientists.

• Experience building for AI/ML or agentic applications, with an understanding of LLM-driven interfaces.

• Interest in or experience with how design systems adapt to "vibe coding" and agent-readable design systems.

• Genuine enthusiasm for design and visual culture, with the ability to articulate design preferences and quality.

• Experience with the React ecosystem, Figma design tooling, and design token pipelines.

• Background in human-computer interaction, interaction design, or UX engineering.

• Familiarity with AWS services and the Cloudscape design system.

• Comfort operating in a fast-moving, highly ambiguous environment where new interaction paradigms are being invented.

📝 Enhancement Note: The qualifications blend deep technical product management with strong leadership and a passion for design. The emphasis on "technical fluency" and "sense of craft" suggests a need for someone who can operate effectively at the intersection of engineering, design, and strategy. Experience with AI/ML and modern front-end technologies is a significant plus.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a history of successfully launching and scaling platform products or developer-facing tools, showcasing impact on adoption rates and developer efficiency.

• Provide examples of how you have translated complex technical requirements and customer needs into actionable product roadmaps and execution plans.

• Showcase experience in defining and refining design systems, component libraries, or developer experience platforms, highlighting architectural considerations and quality standards.

• Present case studies that illustrate your ability to manage competing priorities from multiple stakeholder teams and deliver generalized solutions. Process Documentation:

• Examples of how you have defined and documented development processes, particularly for cross-functional teams working on shared platforms or design systems.

• Evidence of implementing and optimizing team workflows, such as paired programming, agile methodologies, or feedback loops for continuous improvement.

• Documentation of metrics and reporting mechanisms used to track the success and impact of platform products, including adoption, usage, and developer satisfaction.

📝 Enhancement Note: For a role like this, a portfolio should emphasize strategic platform thinking, leadership of complex technical initiatives, and a demonstrated ability to drive adoption and impact through shared systems. Focus on quantifiable results and the methodologies used to achieve them.

💵 Compensation & Benefits

Salary Range:

• New York, New York: $219,100 - $296,500 USD annually

• Seattle, Washington: $199,200 - $269,500 USD annually Benefits:

• Comprehensive health insurance coverage (medical, dental, vision, prescription).

• Basic Life & AD&D Insurance, with options for supplemental life plans.

• Employee Assistance Program (EAP) and Mental Health Support.

• Medical Advice Line and Flexible Spending Accounts.

• Adoption and Surrogacy Reimbursement coverage.

• 401(k) matching program.

• Paid Time Off (PTO).

• Parental Leave.

• Sign-on payments and Restricted Stock Units (RSUs) as part of the overall compensation package. Working Hours:

• Standard 40-hour work week, with flexibility expected for a leadership role in a fast-paced environment.

📝 Enhancement Note: The salary ranges provided are specific to the listed locations. The total compensation package includes base salary, sign-on bonuses, and RSUs, which is typical for senior roles at Amazon. The benefits package is extensive and highlights Amazon's commitment to employee well-being and financial security.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud Computing / Artificial Intelligence / Software Development. Amazon Web Services (AWS) is a global leader in cloud services, providing a vast array of solutions to businesses worldwide. The Applied AI Solutions organization focuses on building business applications powered by AI.

Company Size: Large enterprise, with hundreds of thousands of employees globally, indicating extensive resources and complex organizational structures.

Founded: Amazon was founded in 1994, with AWS launching in 2006. This history reflects a culture of continuous innovation, customer obsession, and long-term thinking.

Team Structure:

• The role leads a cross-functional team comprising Product Managers, SDEs, MLEs, and front-end engineers.

• This team operates within the AWS Applied AI Solutions organization and collaborates closely with the AAIS UX Design organization.

• The reporting structure involves direct people management and partnership with a UX Design leader, suggesting a collaborative leadership model. Methodology:

• Data-Driven Decisions: Emphasis on customer feedback, design research, and measurable outcomes to inform product vision and roadmap.

• Systems Thinking: Focus on building generalized, scalable patterns and components that serve multiple product teams, promoting coherence and efficiency.

• Agile & Iterative Development: The "Own It. Ship It. Together." model implies a collaborative, iterative approach to product development, with a focus on simultaneous building and continuous integration.

• Innovation & Exploration: Dedicated workstream for experimental approaches and inventing new AI-native interaction paradigms, balancing innovation with productization.

Company Website: https://www.amazon.com

📝 Enhancement Note: Amazon's culture is known for its "Leadership Principles," which drive decision-making and behavior. While not explicitly listed for this role, principles like "Customer Obsession," "Invent and Simplify," "Ownership," and "Bias for Action" are likely to be highly relevant. The "single-threaded leader" concept is a specific Amazonian approach to driving focus and accountability.

📈 Career & Growth Analysis

Operations Career Level: Senior Management (Sr. Manager) within Product Management and Engineering Leadership. This level signifies significant responsibility for strategy, execution, and team development, with a broad impact across multiple product lines.

Reporting Structure: The role reports to a senior leader within AWS Applied AI Solutions and manages a team of PMs, SDEs, MLEs, and front-end engineers. Close partnership with the AAIS UX Design leader is critical.

Operations Impact: The design system directly influences the user experience, development velocity, and consistency of AI-powered business applications used by millions of companies globally. Success in this role leads to improved customer satisfaction, reduced development costs, and accelerated innovation within AWS.

Growth Opportunities:

• Platform Leadership: Deepen expertise in building and scaling horizontal platforms and developer-facing products, a highly valued skill within large tech organizations.

• AI/ML Innovation: Gain exposure to cutting-edge AI and agentic interaction paradigms, positioning for future leadership roles in AI product development.

• Cross-Functional Influence: Enhance skills in managing complex stakeholder relationships across multiple product teams and organizations.

• Team Development: Develop leadership capabilities by mentoring and growing a high-performing, cross-functional team.

• Career Progression: Potential pathways could lead to Director-level roles in Product Management, Engineering, or broader GTM strategy within AWS or other Amazon organizations.

📝 Enhancement Note: This role offers a unique opportunity to shape the future of human-AI interaction within a leading cloud platform. The focus on a foundational design system provides a strategic vantage point with significant leverage. Growth opportunities are geared towards developing leaders capable of driving innovation at scale.

🌐 Work Environment

Office Type: This is an on-site role, indicating a preference for in-person collaboration, team building, and spontaneous idea generation within Amazon's corporate offices.

Office Location(s): Seattle, Washington and New York, New York. These are major tech hubs, offering access to talent, resources, and a vibrant professional community.

Workspace Context:

• Collaborative Environment: Expect an office setting designed to foster collaboration, with shared workspaces, meeting rooms, and opportunities for informal interactions with colleagues.

• Tools and Technology: Access to Amazon's extensive internal tools, development environments, and cutting-edge technology infrastructure is standard.

• Team Interaction: Close proximity to the direct team (engineers) and frequent engagement with UX designers and product stakeholders are integral to the role's success.

Work Schedule: While a standard 40-hour work week is mentioned, leadership roles at Amazon often require flexibility to meet business demands, especially during critical project phases or launches. Work-life harmony is a stated value, but the demands of innovation and rapid development are also present.

📝 Enhancement Note: The on-site requirement suggests Amazon's emphasis on the benefits of co-location for fostering innovation, team cohesion, and rapid problem-solving, particularly in a complex, cross-functional environment like managing a design system.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screen: Recruiter call to assess basic qualifications, interest, and cultural fit.

• Hiring Manager Interview: Deeper dive into experience, leadership style, technical depth, and strategic thinking, often with scenario-based questions.

• Technical/Product Deep Dive: Sessions with SDEs, PMs, and potentially UX Designers to assess technical fluency, design system expertise, and product sense. Expect discussions on architecture, trade-offs, and problem-solving approaches.

• Bar Raiser Interview: A dedicated interviewer focused on upholding Amazon's hiring bar, assessing Leadership Principles, and ensuring a high-quality hire. This often involves behavioral questions and hypothetical scenarios.

• Panel Interviews: Multiple interviews back-to-back, covering various aspects of the role, including people management, technical strategy, and cross-functional collaboration.

Portfolio Review Tips:

• Focus on Impact: Showcase quantifiable results from previous roles, particularly related to platform adoption, efficiency gains, and successful product launches.

Use metrics that demonstrate ROI.

• Case Studies: Prepare detailed case studies for 2-3 significant projects. For this role, focus on:

  • Platform/System Development: How you defined, built, and scaled a complex system (e.g., design system, SDK, developer platform).
  • Cross-Functional Leadership: How you managed diverse stakeholders with competing needs and drove consensus.
  • Innovation: Examples where you introduced new concepts or approaches, especially related to user experience or technology.

• Design Thinking: Articulate your approach to understanding user needs (developers, designers) and translating them into product requirements and solutions.

• Technical Acumen: Be prepared to discuss technical challenges, architectural decisions, and engineering trade-offs.

• Tailor to the Role: Emphasize experience with design systems, AI/ML interfaces, and developer-facing products.

Challenge Preparation:

• Product Strategy: Be ready to discuss how you would approach defining the roadmap for this specific design system, considering the "agent-first" philosophy and long-lead investments.

• People Management Scenarios: Prepare examples demonstrating your approach to hiring, performance management, conflict resolution, and team development.

• Technical Problem Solving: Anticipate questions about system design, scalability, and handling technical debt.

• Behavioral Questions: Use the STAR method (Situation, Task, Action, Result) to answer questions based on Amazon's Leadership Principles.

📝 Enhancement Note: Amazon's interview process is rigorous and focuses heavily on assessing Leadership Principles through behavioral examples. Candidates should thoroughly research these principles and prepare specific examples from their experience that align with them. The portfolio is crucial for demonstrating practical application of skills and strategic thinking.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management: Tools for roadmap planning, backlog management (e.g., Jira, Confluence), requirements documentation, and user story creation.

• Design Systems: Figma (for design mockups and prototyping), Sketch, Adobe Creative Suite.

• Front-end Development: React, JavaScript, HTML, CSS. Experience with component libraries and front-end frameworks is essential.

• AI/ML: Familiarity with AI/ML concepts, LLMs, and agentic application development. Understanding of how these impact UI/UX is critical.

Analytics & Reporting:

• Internal AWS analytics platforms for tracking design system adoption, usage, and impact.

• Tools for performance monitoring and A/B testing of new patterns or features.

• Data visualization tools (e.g., Tableau, internal equivalents) for reporting on key metrics to stakeholders. CRM & Automation:

• While not a traditional CRM role, managing relationships with product teams and driving adoption involves elements of stakeholder management and communication automation.

• Internal AWS tools for code repositories (e.g., Git), CI/CD pipelines, and project tracking.

• Familiarity with design token pipelines and management tools.

📝 Enhancement Note: Proficiency with modern front-end technologies, especially React, is a strong requirement. Experience with design tools like Figma and an understanding of how design systems are managed (e.g., design tokens) are critical. Familiarity with AI/ML concepts and their application in user interfaces is a key differentiator.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: Deep understanding of developer and end-user needs to build truly valuable solutions.

• Ownership: Taking full responsibility for the product vision, roadmap, execution, and business outcomes.

• Invent and Simplify: Driving innovation in AI interaction paradigms and simplifying complex processes for builders and users.

• Bias for Action: Moving quickly and decisively, balancing speed with quality and long-term thinking.

• Earn Trust: Building strong relationships with stakeholders through transparency, reliability, and delivering value.

• Frugality: Optimizing resource utilization to deliver maximum impact for customers.

Collaboration Style:

• Cross-functional Integration: Seamless collaboration between Product Management, Engineering, and UX Design is paramount. The "paired model" emphasizes this closely integrated approach.

• Data-Informed: Decisions are based on data, research, and customer feedback, fostering a culture of continuous learning and iteration.

• Direct & Transparent Communication: Amazon values direct communication, constructive conflict, and the ability to "disagree and commit."

• High Standards: A commitment to building high-quality products and systems that set the bar for the industry.

📝 Enhancement Note: The culture at Amazon, particularly within AWS, is fast-paced, demanding, and highly focused on results. Success requires embracing the company's Leadership Principles and thriving in an environment that values innovation, ownership, and customer focus.

⚡ Challenges & Growth Opportunities

Challenges:

• Ambiguity and Invention: Operating at the forefront of AI interaction design means navigating significant ambiguity and inventing new paradigms, requiring comfort with the unknown.

• Driving Adoption: Persuading diverse product teams to adopt a new design system without mandates requires demonstrating clear value and providing excellent support.

• Balancing Innovation and Stability: Managing an innovation track for experimental AI interactions alongside a production-ready design system demands careful resource allocation and prioritization.

• Technical Complexity: Integrating cutting-edge AI technologies with robust front-end engineering and design system principles presents significant technical challenges.

• Scalability: Ensuring the design system scales effectively to support millions of users across numerous AWS applications.

Learning & Development Opportunities:

• Deep Dive into Agentic AI: Gain unparalleled expertise in the rapidly evolving field of conversational AI and agent-based interfaces.

• Platform Strategy Mastery: Hone skills in building and managing large-scale, horizontal platforms that serve a broad developer audience.

• Leadership Development: Opportunities to lead and mentor a high-caliber, cross-functional team, enhancing people management and strategic leadership capabilities.

• Industry Exposure: Engage with industry trends in design systems, AI, and developer experience, potentially through conferences and internal AWS events.

• Mentorship: Access to senior leaders within AWS and Amazon for guidance and career development.

📝 Enhancement Note: This role is ideal for individuals seeking to tackle complex, forward-looking challenges at the intersection of AI, design, and product strategy, with significant opportunities for professional growth and impact.

💡 Interview Preparation

Strategy Questions:

• "How would you define the product vision and roadmap for an 'agent-first' design system, considering both near-term adoption and long-term innovation?"

• "Describe your approach to driving adoption of a platform product like a design system without relying on mandates. What metrics would you track?"

• "How do you balance investing in proven patterns with exploring novel, experimental interaction paradigms for AI?"

• "What are the key considerations for designing interaction layers that support humans working alongside AI teammates, drawing from your understanding of 'humorphism'?" Company & Culture Questions:

• "How do Amazon's Leadership Principles align with your approach to product management and team leadership?"

• "Describe a time you had to 'disagree and commit' with a stakeholder or team member."

• "How do you foster a culture of 'Ownership' and 'Bias for Action' within your team?"

• "What excites you about AWS Applied AI Solutions and this specific role?" Portfolio Presentation Strategy:

• Structure: Begin with a high-level overview of your career and key achievements.

Then, dive into 2-3 detailed case studies, focusing on the problem, your strategic approach, the execution, and most importantly, the quantifiable results and impact.

• Metrics Focus: Clearly articulate the business impact of your work. For this role, emphasize metrics related to:

  • Design system adoption rates and growth over time.
  • Reduction in per-team UX build costs or development time.
  • User satisfaction scores for developers or end-users.
  • Successful launch of new features or patterns.

• Visual Aids: Use clear, concise slides or diagrams to illustrate complex systems, workflows, or user journeys. Ensure any Figma designs or code examples are easily understandable.

• Storytelling: Frame your experience as a narrative, highlighting challenges overcome, key decisions made, and lessons learned.

• Interactive Elements: Be prepared to answer follow-up questions and engage in a discussion about your work, demonstrating your depth of understanding and strategic thinking.

📝 Enhancement Note: Prepare specific, data-backed examples for each question, especially those tied to Amazon's Leadership Principles. The interviewers will probe deeply into your experience and decision-making process.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Amazon Jobs portal.

• Portfolio Customization: Tailor your resume and any accompanying portfolio materials to highlight experience in design systems, developer platforms, AI/ML applications, and people management. Quantify achievements wherever possible.

• Resume Optimization: Ensure your resume clearly articulates your technical product management expertise, leadership experience, and specific contributions to product success, using keywords from the job description.

• Interview Preparation: Thoroughly research Amazon's Leadership Principles and prepare detailed behavioral examples using the STAR method. Practice answering strategy and technical questions relevant to design systems and AI.

• Company Research: Familiarize yourself with AWS Applied AI Solutions, the Cloudscape design system, and Amazon's general approach to innovation and product development. Understand the "humorphism" concept discussed in the job description.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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